Closed loop optimization of 5G network slices

The rising popularity of 5G is expected to drive transformation in a large number of industries, thereby generating a diverse set of use cases with distinct and specific requirements on throughput, latency, availability etc. 5G Slicing, one of the key enablers of 5G, will allow different applications with custom QoS requirements to be supported on the same physical infrastructure. A slice, during its lifecycle from planning to decommissioning, requires a scalable Management and Orchestration (MANO) framework that automates the slice deployment and its management. The dynamic nature of slices and the strict QoS requirements of 5G applications, requires a more intelligent MANO framework with analytics capabilities for slice SLO assurance and optimization capabilities for resource efficiency. In this demo, we present an end-to-end 5G slicing lifecycle framework with additional capabilities of optimal cost-efficient placement of slices and 3GPP compliant Data and Analytics Function (DAF) module for intelligent monitoring for assurance.

Automated summary

The increasing adoption of 5G is expected to bring about transformation in various industries and generate a wide range of use cases with specific requirements. 5G slicing, a key enabling technology, allows different applications with customized QoS requirements to be supported on the same infrastructure. A scalable Management and Orchestration (MANO) framework is needed for the lifecycle management of slices, considering their dynamic nature and the strict QoS demands of 5G applications. A more intelligent MANO framework with analytics capabilities and optimization features is required for slice SLO assurance and resource efficiency. This demo presents an end-to-end 5G slicing lifecycle framework with additional capabilities of cost-efficient slice placement and intelligent monitoring using 3GPP compliant Data and Analytics Function (DAF) module.